Predicting transgenic markers of a neuron by electrophysiological properties using machine learning.

Keywords

Art

References

• Classification and Regression by randomForestAndy Liaw, Matthew C. Wiener — 2007
• Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in positionKunihiko Fukushima — 1980
• Learning representations by back-propagating errorsDavid E. Rumelhart, Geoffrey E. Hinton, Ronald J. Williams — 1986
• Understanding the difficulty of training deep feedforward neural networksXavier Glorot, Yoshua Bengio — 2010
• A logical calculus of the ideas immanent in nervous activityWarren S. McCulloch, Walter Pitts — 1990
• Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet ClassificationKaiming He, Xiangyu Zhang, Shaoqing Ren — 2015
• Building Predictive Models in R Using the caret PackageMax Kühn — 2008
• Improving neural networks by preventing co-adaptation of feature detectorsGeoffrey E. Hinton, Nitish Srivastava, Alex Krizhevsky — 2012
• Reconstruction and Simulation of Neocortical Microcircuitry.Henry Markram, Eilif Müller, Srikanth Ramaswamy — 2015
• Cell types in the mouse cortex and hippocampus revealed by single-cell RNA-seqAmit Zeisel, Ana B. Muñoz‐Manchado, Simone Codeluppi — 2015
• Single Cell Analysis Reveals Transcriptional Heterogeneity of Neural Progenitors in the Human CortexMatthew B. Johnson, Peter P. Wang, Kutay Deniz Atabay — 2015
• The neocortical circuit: themes and variationsKenneth D. Harris, Gordon M. Shepherd — 2015
• Mind matters: Placebo enhances reward learning in Parkinson’s diseaseLiane Schmidt, Erin Kendall Braun, Tor D. Wager — 2014
• Better subset regression using the nonnegative garroteLeo Breiman — 1995
• The action potential in mammalian central neuronsBruce P. Bean — 2007
• Dropout: a simple way to prevent neural networks from overfittingNitish Srivastava, Geoffrey E. Hinton, Alex Krizhevsky — 2014
• Regularization Paths for Generalized Linear Models via Coordinate DescentJerome H. Friedman, Trevor Hastie, Rob Tibshirani — 2010
• The Random Subspace Method for Constructing Decision ForestsTin Kam Ho — 1998
• The ventral tegmental area revisited: is there an electrophysiological marker for dopaminergic neurons?Elyssa B. Margolis, Hagar Lock, Gregory O. Hjelmstad — 2006
• NeuroElectro: a window to the world's neuron electrophysiology dataShreejoy J. Tripathy, Judith Savitskaya, Shawn D. Burton — 2014

Cited by

• Molecular Expression Profiles of Morphologically Defined Hippocampal Neuron Types: Empirical Evidence and Relational InferencesCharise M. White, Christopher L. Rees, Diek W. Wheeler — 2019
• Neuronal Cell Type Classification using Deep LearningOfek Ophir, Orit Shefi, Ofir Lindenbaum — 2023
• Neuronal Cell Type Classification Using Locally Sparse NetworksOfek Ophir, Orit Shefi, Ofir Lindenbaum — 2023
• Classifying Neuronal Cell Types Based on Shared Electrophysiological Information from Humans and MiceOfek Ophir, Orit Shefi, Ofir Lindenbaum — 2024

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